Blind Signal Separation using Overcomplete Subband Representation
(2001) In IEEE/ACM Transactions on Audio, Speech, and Language Processing 9(5). p.524-533- Abstract
- This paper discusses a multirate filterbank-based extended infomax algorithm for real-world signal separation, i.e., convolved mixtures separation. Since convolution in the time domain corresponds to instantaneous mixing in the frequency domain, polyphase subband projection naturally becomes an efficient alternative to the Fourier transform based frequency domain approach. The online implementation proposed is featured by a simultaneous inverse channel identification in the frequency domain and signal filtering in the time domain. It is shown that an over-representation structure reduces aliasing between different bands and results in more accurate inverse channel estimates. Therefore, it provides better performance than the Fourier... (More)
- This paper discusses a multirate filterbank-based extended infomax algorithm for real-world signal separation, i.e., convolved mixtures separation. Since convolution in the time domain corresponds to instantaneous mixing in the frequency domain, polyphase subband projection naturally becomes an efficient alternative to the Fourier transform based frequency domain approach. The online implementation proposed is featured by a simultaneous inverse channel identification in the frequency domain and signal filtering in the time domain. It is shown that an over-representation structure reduces aliasing between different bands and results in more accurate inverse channel estimates. Therefore, it provides better performance than the Fourier transform based structure in the measures of both separation and distortion. The performance limitation of the method is also evaluated in terms of the Wiener solution (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/d6e44ed3-1537-4a2b-96ff-7b592e9264cf
- author
- Grbic, Nedelko LU ; Tao, Xiao-Jiao ; Nordholm, Sven and Claesson, Ingvar LU
- publishing date
- 2001-07
- type
- Contribution to journal
- publication status
- published
- subject
- in
- IEEE/ACM Transactions on Audio, Speech, and Language Processing
- volume
- 9
- issue
- 5
- article number
- 5
- pages
- 10 pages
- publisher
- Piscataway, NJ : Institute of Electrical and Electronics Engineers
- external identifiers
-
- scopus:0035397245
- ISSN
- 2329-9290
- DOI
- 10.1109/89.928917
- language
- English
- LU publication?
- no
- id
- d6e44ed3-1537-4a2b-96ff-7b592e9264cf
- date added to LUP
- 2016-06-23 13:39:46
- date last changed
- 2024-01-04 08:51:55
@article{d6e44ed3-1537-4a2b-96ff-7b592e9264cf, abstract = {{This paper discusses a multirate filterbank-based extended infomax algorithm for real-world signal separation, i.e., convolved mixtures separation. Since convolution in the time domain corresponds to instantaneous mixing in the frequency domain, polyphase subband projection naturally becomes an efficient alternative to the Fourier transform based frequency domain approach. The online implementation proposed is featured by a simultaneous inverse channel identification in the frequency domain and signal filtering in the time domain. It is shown that an over-representation structure reduces aliasing between different bands and results in more accurate inverse channel estimates. Therefore, it provides better performance than the Fourier transform based structure in the measures of both separation and distortion. The performance limitation of the method is also evaluated in terms of the Wiener solution}}, author = {{Grbic, Nedelko and Tao, Xiao-Jiao and Nordholm, Sven and Claesson, Ingvar}}, issn = {{2329-9290}}, language = {{eng}}, number = {{5}}, pages = {{524--533}}, publisher = {{Piscataway, NJ : Institute of Electrical and Electronics Engineers}}, series = {{IEEE/ACM Transactions on Audio, Speech, and Language Processing}}, title = {{Blind Signal Separation using Overcomplete Subband Representation}}, url = {{http://dx.doi.org/10.1109/89.928917}}, doi = {{10.1109/89.928917}}, volume = {{9}}, year = {{2001}}, }